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中文摘要：
一个颜色紧张特征抽取方法被建议瞄准了补充仅仅考虑图象的紧张的常规图象哈希算法。一幅图象被印射到他们的主导的颜色和平均紧张代表的一套块。主导的颜色被色彩和浸透定义，色彩价值适应了使主要颜色更一致地分布式。平均紧张在 YCbCr 空间从 Y 部件被提取。由使量子化颜色和紧张部件，特征向量为每图象块在一个圆柱的坐标系统被形成，它可以被用来产生中间的哈希值。欧几里德几何学的距离被修改，一个类似度量标准介绍了以颜色紧张特征测量图象的类似的度。这被用来验证建议特征向量的有效性。当敏感时，特别地，实验证明颜色紧张特征对正常图象处理柔韧到恶意的改变颜色修正。
英文摘要：
A color-intensity feature extraction method is proposed aimed at supplementing conventional image hashing algorithms that only consider intensity of the image. An image is mapped to a set of blocks represented by their dominant colors and average intensities. The dominant color is defined by hue and saturation with the hue value adjusted to make the principal colors more uniformly distributed. The average intensity is extracted from the Y component in the YCbCr space. By quantizing the color and intensity components, a feature vector is formed in a cylindrical coordinate system for each image block, which may be used to generate an intermediate hash. Euclidean distance is modified and a similarity metric introduced to measure the degree of similarity between images in terms of the color-intensity features. This is used to validate effectiveness of the proposed feature vector. Experiments show that the color-intensity feature is robust to normal image processing while sensitive to malicious alteration, in particular, color modification.
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同项目期刊论文
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